Distributed Simulation as a modelling tool for the development of a simulation-based training programme for cardiovascular specialties
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Published version
Author(s)
Type
Journal Article
Abstract
Aims and background
Distributed Simulation is the concept of portable, high-fidelity immersive simulation. Here, it is used for the development of a simulation-based training programme for cardiovascular specialities. We present an evidence base for how accessible, portable and self-contained simulated environments can be effectively utilised for the modelling, development and testing of a complex training framework and assessment methodology. Iterative user feedback through mixed-methods evaluation techniques resulted in the implementation of the training programme.
Approach
Four phases were involved in the development of our immersive simulation-based training programme: (1) initial conceptual stage for mapping structural criteria and parameters of the simulation training framework and scenario development (n = 16), (2) training facility design using Distributed Simulation, (3) test cases with clinicians (n = 8) and collaborative design, where evaluation and user feedback involved a mixed-methods approach featuring (a) quantitative surveys to evaluate the realism and perceived educational relevance of the simulation format and framework for training and (b) qualitative semi-structured interviews to capture detailed feedback including changes and scope for development. Refinements were made iteratively to the simulation framework based on user feedback, resulting in (4) transition towards implementation of the simulation training framework, involving consistent quantitative evaluation techniques for clinicians (n = 62). For comparative purposes, clinicians’ initial quantitative mean evaluation scores for realism of the simulation training framework, realism of the training facility and relevance for training (n = 8) are presented longitudinally, alongside feedback throughout the development stages from concept to delivery, including the implementation stage (n = 62).
Findings
Initially, mean evaluation scores fluctuated from low to average, rising incrementally. This corresponded with the qualitative component, which augmented the quantitative findings; trainees’ user feedback was used to perform iterative refinements to the simulation design and components (collaborative design), resulting in higher mean evaluation scores leading up to the implementation phase.
Conclusions
Through application of innovative Distributed Simulation techniques, collaborative design, and consistent evaluation techniques from conceptual, development, and implementation stages, fully immersive simulation techniques for cardiovascular specialities are achievable and have the potential to be implemented more broadly.
Distributed Simulation is the concept of portable, high-fidelity immersive simulation. Here, it is used for the development of a simulation-based training programme for cardiovascular specialities. We present an evidence base for how accessible, portable and self-contained simulated environments can be effectively utilised for the modelling, development and testing of a complex training framework and assessment methodology. Iterative user feedback through mixed-methods evaluation techniques resulted in the implementation of the training programme.
Approach
Four phases were involved in the development of our immersive simulation-based training programme: (1) initial conceptual stage for mapping structural criteria and parameters of the simulation training framework and scenario development (n = 16), (2) training facility design using Distributed Simulation, (3) test cases with clinicians (n = 8) and collaborative design, where evaluation and user feedback involved a mixed-methods approach featuring (a) quantitative surveys to evaluate the realism and perceived educational relevance of the simulation format and framework for training and (b) qualitative semi-structured interviews to capture detailed feedback including changes and scope for development. Refinements were made iteratively to the simulation framework based on user feedback, resulting in (4) transition towards implementation of the simulation training framework, involving consistent quantitative evaluation techniques for clinicians (n = 62). For comparative purposes, clinicians’ initial quantitative mean evaluation scores for realism of the simulation training framework, realism of the training facility and relevance for training (n = 8) are presented longitudinally, alongside feedback throughout the development stages from concept to delivery, including the implementation stage (n = 62).
Findings
Initially, mean evaluation scores fluctuated from low to average, rising incrementally. This corresponded with the qualitative component, which augmented the quantitative findings; trainees’ user feedback was used to perform iterative refinements to the simulation design and components (collaborative design), resulting in higher mean evaluation scores leading up to the implementation phase.
Conclusions
Through application of innovative Distributed Simulation techniques, collaborative design, and consistent evaluation techniques from conceptual, development, and implementation stages, fully immersive simulation techniques for cardiovascular specialities are achievable and have the potential to be implemented more broadly.
Date Issued
2017-09-20
Date Acceptance
2017-09-10
Citation
Advances in Simulation, 2017, 2
ISSN
2059-0628
Publisher
BioMed Central
Journal / Book Title
Advances in Simulation
Volume
2
Copyright Statement
© The Author(s). 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0
International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and
reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to
the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver
(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated
International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and
reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to
the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver
(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated
License URL
Sponsor
Imperial College Healthcare NHS Trust
Wellcome Trust
Wellcome Trust
St Mary's Coronary Flow Trust
Grant Number
H0019815
095330/Z/11/Z
095330/Z/11/B
CFT/15/4003
Publication Status
Published
Article Number
16